def simple_symbgraph():
def make_data(n):
X = rnd.randn(n, 5)
Y = np.array([ [ x[0]>=0, x[1]>=0, x[2]>=x[3] and x[2]>=x[4] ] for x in X ], dtype=int)
return { 'X': X, 'Y': Y }
# Y_kwlist = [ {'RIGHT': y[0], 'TOP': y[1], 'RED': y[2] } for y in Y ]
# return { 'X': X,
# 'Y': Y,
# 'Y_kwlist': Y_kwlist }
fg = FactorGraph()
feats1 = fg.add(Feats, 'feats1', nfeats = 1)
feats2 = fg.add(Feats, 'feats2', nfeats = 1)
feats3 = fg.add(Feats, 'feats3', nfeats = 3)
RIGHT = fg.add(Variable, 'RIGHT', domain = 2)
TOP = fg.add(Variable, 'TOP', domain = 2)
RED = fg.add(Variable, 'RED', domain = 2)
V_ = (RIGHT, TOP, RED)
F_RIGHT = fg.add(FeatFactor, 'F_RIGHT', RIGHT, feats = feats1)
F_TOP = fg.add(FeatFactor, 'F_TOP', TOP, feats = feats2)
F_RED = fg.add(FeatFactor, 'F_RED', RED, feats = feats3)
F_ = fg.add(FunFactor, 'F_', V_, nfunfeats = 1)
F_.fun = lambda _values: np.array(sum(_values))
fg.make()
return fg, make_data
def make_tabpgraph(vfun):
fg = FactorGraph()
V1, V2 = vfun(fg)
F1 = fg.add(TabPFactor, 'F1', V1 )
F2 = fg.add(TabPFactor, 'F2', (V1, V2) )
fg.make()
return fg
def make_tabgraph(vfun):
fg = FactorGraph()
V1, V2, V3 = vfun(fg)
F1 = fg.add(TabFactor, 'F1', V1 )
F2 = fg.add(TabFactor, 'F2', (V1, V2) )
F3 = fg.add(TabFactor, 'F3', (V2, V3) )
# F1 prefers if V1 is 0
F1.table = [ 10, 1 ]
# F2 prefers if V1 and V2 are the same
F2.table = [[ 10, 1 ],
[ 1, 10 ]]
# F3 prefers if V2 and V3 are different
F3.table = [[ 1, 10 ],
[ 10, 1 ]]
fg.make()
return fg
def simple_featgraph():
fg = FactorGraph()
V1 = fg.add(Variable, 'V1', domain=2)
V2 = fg.add(Variable, 'V2', domain=2)
feats = fg.add(Feats, 'feats', nfeats = 2)
F1 = fg.add(FeatFactor, 'F1', (V1, V2), feats = feats)
fg.make()
return fg, make_data
def simple_fungraph():
def make_data(n):
X = rnd.randn(n, 2)
Y = np.array([ [ 'RIGHT' if x[0]>=0 else 'LEFT',
'TOP' if x[1]>=0 else 'BOTTOM',
'BL' if x[0]>=x[1] else 'TR' ] for x in X ])
# Y = np.array([ [ x[0]>=0, x[1]>=0, x[0]>=x[1] ] for x in X ], dtype=bool)
# Y = np.array([ [ x[0]>=0, x[1]>=0, x[0]>=x[1] ] for x in X ], dtype=int)
return { 'X': X, 'Y': Y }
fg = FactorGraph()
feats = fg.add(Feats, 'feats', nfeats = 2)
# V1 = fg.add(Variable, 'V1', domain=2)
# V2 = fg.add(Variable, 'V2', domain=2)
# V3 = fg.add(Variable, 'V3', domain=2)
# V1 = fg.add(Variable, 'V1', domain=[False, True])
# V2 = fg.add(Variable, 'V2', domain=[False, True])
# V3 = fg.add(Variable, 'V3', domain=[False, True])
V1 = fg.add(Variable, 'V1', domain=['RIGHT', 'LEFT'])
V2 = fg.add(Variable, 'V2', domain=['TOP', 'BOTTOM'])
V3 = fg.add(Variable, 'V3', domain=['TR', 'BL'])
F1 = fg.add(FunFactor, 'F1', V1, feats = feats)
F2 = fg.add(FunFactor, 'F2', V2, feats = feats)
F3 = fg.add(FunFactor, 'F3', V3, feats = feats)
F_ = fg.add(FunFactor, 'F_', (V1, V2, V3), feats = feats)
F1.fun = lambda feats, V1: feats * (V1 == 'RIGHT')
F2.fun = lambda feats, V2: feats * (V2 == '')
F3.fun = lambda feats, V3: feats * V3
F_.fun = lambda feats, V1, V2, V3: feats * (V1+V2+V3)
F1.fun = lambda feats, V1: feats * (V1 == 'RIGHT')
F2.fun = lambda feats, V2: feats * (V2 == '')
F3.fun = lambda feats, V3: feats * V3
F_.fun = lambda feats, V1, V2, V3: feats * (V1+V2+V3)
# TODO alternatively: lambda s: s.feats * (s.V1 == 'RIGHT')
fg.make()
return fg, make_data
def make_featgraph(vfun):
fg = FactorGraph()
V1, V2, V3 = vfun(fg)
feats = fg.add(Feats, 'feats', nfeats = 2)
# Each factor has its own independent set of parameters
F1 = fg.add(FeatFactor, 'F1', V1, feats = feats)
F2 = fg.add(FeatFactor, 'F2', V2, feats = feats)
F3 = fg.add(FeatFactor, 'F3', V3, feats = feats)
F_ = fg.add(FeatFactor, 'F_', (V1, V2, V3), feats = feats)
fg.make()
return fg
